Soft Computing for Problem Solving Proceedings of the SocProS 2022 /
| Автор-организация: | |
|---|---|
| Другие авторы: | , , , , , |
| Примечания: | XXII, 733 p. 237 illus., 197 illus. in color. text |
| Язык: | английский |
| Опубликовано: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
|
| Издание: | 1st ed. 2023. |
| Серии: | Lecture Notes in Networks and Systems,
547 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-981-19-6525-8 |
| Формат: | Электронный ресурс Книга |
Оглавление:
- Chapter 1. Benchmarking state-of-the-art methodologies for optic disc segmentation
- Chapter 2. Automated Student Emotion Analysis During Online Classes using Convolutional Neural Network
- Chapter 3. Transfer Learning based Malware Classification
- Chapter 4. A Study on Metric-Based and Initialization-Based Methods for Few-Shot Image Classification
- Chapter 5. A Fast and Efficient Methods for Eye pre-processing and DR Level Detection
- Chapter 6. A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal
- Chapter 7. An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach
- Chapter 8. Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture
- Chapter 9. Medical Prescription Label Reading using Computer Vision and Deep Learning
- Chapter 10. Autoencoder-based Deep Neural Architecture for Epileptic Seizures Classification
- Chapter 11. Stock Market Prediction using Deep Learning Techniques for Short and Long Horizon
- Chapter 12. Improved CNN Model for Breast Cancer Classification
- Chapter 13. Performance Assessment of Normalization in CNN with Retinal Image Segmentation
- Chapter 14. A novel multi-day ahead index price forecast using multi-output based deep learning system
- Chapter 15. Automatic Retinal Vessel Segmentation using BTLBO. etc.